Data Standardization Intern

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ;br>
Job Function:
Career Programs

Job Sub Function:
Non-LDP Intern/Co-Op

Job Category:
Career Program

All Job Posting Locations:
Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

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We are recruiting a highly motivated and detail-oriented Summer Intern to support strategic initiatives focused on data standardization, data connectivity, and the development of AI-ready datasets. The intern will contribute to foundational work that enhances data interoperability, improves data quality, and accelerates the creation of enterprise-scale analytics and AI solutions. This role provides an excellent opportunity to gain hands-on experience in data engineering, metadata standards, and AI enablement within a scientific and R&D context.

Key Responsibilities:

In This Role, You Will:

Support ongoing data standardization efforts, including harmonization of data structures, formats, and terminologies across multiple scientific and operational data sources.

Assist in the development and enhancement of data connectivity frameworks that improve interoperability between platforms, pipelines, and analytical systems.

Contribute to the preparation of AI-ready datasets by implementing best practices in schema management, metadata curation, lineage documentation, and quality assessment.

Conduct exploratory data analyses to evaluate data completeness, consistency, and harmonization needs.

Collaborate with cross-functional partners-including Data Engineering, Data Governance, and AI/ML teams-to capture requirements and support delivery of standardized data assets.

Document workflows, data definitions, technical decisions, and process improvements to support organizational knowledge sharing and operational scalability.

Assist in prototyping or testing automation approaches for data validation, transformation, and standardization where appropriate.

Experience And Skills:

Required:

Currently pursuing a bachelor's, master's or Ph.D's degree in Data Science, Computer Science, Information Systems, Bioinformatics, Engineering, or a related discipline.

Foundational knowledge of Python, SQL, or equivalent programming languages for data manipulation and analysis.

Understanding of core data concepts, including data models, schemas, metadata, ontologies, and data governance principles.

Demonstrated interest in AI systems, data engineering, or machine learning workflows.

Strong analytical and problem-solving skills, with exceptional attention to detail.

Effective communication skills and the ability to work both independently and collaboratively.

Preferred:

Familiarity with scientific or clinical data standards such as CDISC, FHIR, OMOP, internal ontologies, or FAIR data principles.

Exposure to modern cloud platforms (e.g., Azure, AWS) and data tooling.

Experience with workflow orchestration tools (e.g., Nextflow, Airflow) or scientific data pipelines.

Understanding of R&D, clinical, omics, or experimental data environments.

Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or ) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via . Internal employees contact AskGS to be directed to your accommodation resource.

Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :
$23.00/hr to $51.50/hr

Additional Description for Pay Transparency:
The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company's consolidated retirement plan (pension). For additional general information on Company benefits, please go to: This job posting is anticipated to close on 7/31/2026. The Company may however extend this time-period, in which case the posting will remain available on to accept additional applications.